# Rob J. Hyndman

According to our database

Collaborative distances:

^{1}, Rob J. Hyndman authored at least 44 papers between 2004 and 2021.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2021

Eur. J. Oper. Res., 2021

CoRR, 2021

Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis.

CoRR, 2021

CoRR, 2021

CoRR, 2021

2020

Stat. Anal. Data Min., 2020

Stat. Comput., 2020

Data Min. Knowl. Discov., 2020

CoRR, 2020

CoRR, 2020

Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality.

CoRR, 2020

CoRR, 2020

2019

CoRR, 2019

CoRR, 2019

2018

NII Shonan Meet. Rep., 2018

Exploring the sources of uncertainty: Why does bagging for time series forecasting work?

Eur. J. Oper. Res., 2018

A note on the validity of cross-validation for evaluating autoregressive time series prediction.

Comput. Stat. Data Anal., 2018

2017

J. Oper. Res. Soc., 2017

J. Glob. Optim., 2017

Eur. J. Oper. Res., 2017

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression.

IEEE Trans. Smart Grid, 2016

Fast computation of reconciled forecasts for hierarchical and grouped time series.

Comput. Stat. Data Anal., 2016

Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Proceedings of the Learning and Intelligent Optimization, 2014

Proceedings of the 31th International Conference on Machine Learning, 2014

2011

Proceedings of the International Encyclopedia of Statistical Science, 2011

Proceedings of the International Encyclopedia of Statistical Science, 2011

Proceedings of the International Encyclopedia of Statistical Science, 2011

Math. Comput. Simul., 2011

Improved interval estimation of long run response from a dynamic linear model: A highest density region approach.

Comput. Stat. Data Anal., 2011

Comput. Stat. Data Anal., 2011

2010

Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling.

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series.

Neurocomputing, 2009

2008

Eur. J. Oper. Res., 2008

2007

Half-life estimation based on the bias-corrected bootstrap: A highest density region approach.

Comput. Stat. Data Anal., 2007

Comput. Stat. Data Anal., 2007

2006

The accuracy of television network rating forecasts: The effects of data aggregation and alternative models.

Model. Assist. Stat. Appl., 2006

J. Oper. Res. Soc., 2006

Data Min. Knowl. Discov., 2006

A Bayesian approach to bandwidth selection for multivariate kernel density estimation.

Comput. Stat. Data Anal., 2006

2005

Proceedings of the Computational Science, 2005

2004

Eur. J. Oper. Res., 2004